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Photo of Daniel Jönsson

Daniel Jönsson

Associate Professor, Head of Unit

Working in the intersection between visualization and machine learning.

Making complex information understandable

Deciphering complex datasets is no easy task. Raw numbers and abstract statistics often fail to capture the essence of data, hindering human comprehension. My work aims to bridge this gap between humans and data through the power of visualization and machine learning. By combining these two fields, I try to find ways of unraveling hidden patterns, extracting valuable insights, and enabling data-driven decision-making.

Publications

2025

Renata G. Raidou, James B. Procter, Christian Hansen, Thomas Hollt, Daniel Jönsson (2025) Computers & graphics, Vol. 127, Article 104168 (Article in journal)

2024

Gabriel Eilertsen, Daniel Jönsson, Jonas Unger, Anders Ynnerman (2024) EuroVis 2024 - Short Papers (Conference paper)

2023

Alex Bäuerle, Christian van Onzenoodt, Daniel Jönsson, Timo Ropinski (2023)
Christian Hansen, James Procter, Renata G Raidou, Daniel Jönsson, Thomas Höllt (Editorship) (2023)
Alex Knutsson, Jakob Unnebäck, Daniel Jönsson, Gabriel Eilertsen (2023) Eurographics Workshop on Visual Computing for Biology and Medicine (Conference paper)

Research

Teaching

Organisation